Research Assistant at University of Illinois Chicago
Chicago, Illinois, United States
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Summary
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Senior
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Top School
Rishi Advani is a PhD candidate and research assistant at the University of Illinois Chicago with a decade of experience applying algorithms, machine learning, and data science to social-good problems such as misinformation, fairness, and inequality. He combines theoretical training in high-dimensional methods and pseudorandomness with practical NLP and generative-model work from research at Cornell, producing interpretable analyses of curricula and scalable approaches to misinformation detection. As a graduate instructor for Algorithms I and a past intern/project manager, he pairs rigorous research with clear teaching and product-minded engineering. Rishi’s work spans from random-projection tools for large-scale linear algebra to applied topic modeling, reflecting a rare comfort moving between abstract theory and deployed systems. Based in Chicago, he is driven by using computing to shape more equitable information ecosystems.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Illinois Chicago
Bachelor of Arts - BA Computer Science Mathematics, Bachelor of Arts - BA Computer Science Mathematics at Cornell University
High School Diploma, High School Diploma at AMSA Charter School
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